• DocumentCode
    678715
  • Title

    Bowstring-based dual-threshold computation method for adaptive Canny edge detector

  • Author

    Xiangdong Liu ; Yin Yu ; Bing Liu ; Zhen Li

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    27-29 Nov. 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu´s method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.
  • Keywords
    edge detection; gradient methods; image segmentation; search problems; GMH; Otsu method; ROC curve evaluation method; adaptive Canny edge detector; adaptive acquisition; adaptive-searching; bowstring-based dual-threshold computation method; gradient magnitude histogram; low-/high-threshold; receiver operating characteristics; unimodal hysteresis thresholding; Adaptive systems; Detectors; Histograms; Hysteresis; Image edge detection; Shape; Testing; Adaptive dual-threshold computation; Canny edge detector; Gradient magnitude histogram (GMH); Unsupervised hysteresis thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
  • Conference_Location
    Wellington
  • ISSN
    2151-2191
  • Print_ISBN
    978-1-4799-0882-0
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2013.6726985
  • Filename
    6726985